What is the proper way of resizing image, apply augmentation and normalize images in Fast AI v2?
SegmentationDataLoaders.from_label_func(path=path_manual,fnames=fnames_manual,
label_func=get_y_fn_manual,valid_pct=0.1,
codes=codes,bs=1,shuffle_train=True,
item_tfms=Resize((size,size)),
batch_tfms=aug_transforms(mult=1.0, do_flip=True,
flip_vert=True, max_rotate=10.,
max_zoom=1.1,max_warp=0.2,
p_affine=0.75, p_lighting=0,
xtra_tfms=None))
If I pass to batch_tfms an array with next form:[aug_transforms(...),Normalize.from_stats(*imagenet_stats)]
all I get is the next error: Could not do one pass in your dataloader, there is something wrong in it